NEW YORK, Feb. 24, 2026 (GLOBE NEWSWIRE) -- Pomerantz LLP is investigating claims on behalf of investors of Snowflake Inc. (“Snowflake” or the “Company”) (NYSE: SNOW).  Such investors are advised to contact Danielle Peyton at newaction@pomlaw.com or 646-581-9980, ext. 7980. The investigation concerns whether Snowflake and certain of its officers and/or directors have engaged in securities fraud or other unlawful business practices.  [Click here for information about joining the class action] On February 28, ...

When Jeff Bezos said that one breakthrough technology would shape Amazon’s destiny, even Wall Street’s biggest analysts were caught off guard. Fast forward a year and Amazon’s new CEO Andy Jassy described generative AI as a “once-in-a-lifetime” technology that is already being used across Amazon to reinvent customer experiences. At the 8th Future Investment Initiative conference, Elon Musk predicted that by 2040 there would be at least 10 billion humanoid robots, with each priced between $20,000 and $25,000 ...

Snowflake is scheduled to report its fourth-quarter fiscal 2026 results after the market close on Wednesday, February 25. Investors will be closely watching revenue growth trends, operating margins, and forward guidance for signs of stabilization in spending among enterprise customers.Analysts Trim Price ForecastsIn the run-up to results, several analysts lowered their price forecasts, reflecting more measured expectations and adding to near-term pressure on the stock, even as they reiterated bullish rating ...

While Wall Street, New York City and much of the northeastern U.S. are under a blizzard warning, one might say that the software industry is currently navigating a “SaaS-pocalypse.” A massive valuation reset wiped out nearly $1 trillion in market value, sending several industry giants to 52-week lows.CRM stock is falling. See the chart and price action here. The AI Blizzard: 52-Week Lows & PerformanceAs of late February, the following key SaaS stocks have seen significant volatility or reached yearly lows, ...

Key Takeaways SNOW is set to report Q4 fiscal 2026 results on Feb. 25 with revenue seen up 26.85%. Snowflake's AI push drove 50% of Q3 bookings and a $100M AI revenue run rate. SNOW trades at 10.19X forward sales, reflecting a premium valuation amid competition. Snowflake (SNOW) is set to release fourth-quarter fiscal 2026 results on Feb. 25.The Zacks Consensus Estimate for fourth-quarter fiscal 2026 earnings has remained steady at 27 cents per share over the past 30 days, indicating a year-over-year declin ...

Key Takeaways PSKY is slated to report Q4 results on Feb. 25, with the Zacks Consensus Estimate pegged at $8.17B in revenue.PSKY's DTC segment is expected to sustain momentum on strong CBS and Paramount content.PSKY's unsolicited all-cash tender offer for WBD was rejected, adding complexity to the quarter.Paramount Skydance Corporation (PSKY) is scheduled to report its fourth-quarter 2025 results on Feb. 25.The Zacks Consensus Estimate for PSKY’s fourth-quarter revenues is currently pegged at $8.17 billion, ...

No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced that Cortex Code CLI, Snowflake's AI coding agent for local development environments, is expanding beyond Snowflake-native workflows towards supporting any data source across systems, starting with dbt and Apache Airflow®1 (now generally available). With this extended support, developers unlock secure, context-aware AI assistance within their preferred data engineering systems — e. ...

Core Insights - The article discusses the trend of startups adopting a "Palantir-like" model, emphasizing the deployment of Forward Deployment Engineers (FDEs) to create customized workflows for clients, akin to special forces rather than traditional software companies [1][2][10]. Group 1: The Appeal of the Palantir Model - The allure of the Palantir model lies in its ability to integrate disparate systems and deliver customized platforms quickly, which is particularly appealing to startups aiming for significant contracts [2][10]. - The surge in FDE job postings, with reported increases of 800% to 1000% this year, indicates a growing trend among AI startups to ensure effective deployment through on-site engineering support [10][12]. Group 2: Unique Attributes of Palantir - Palantir's success is attributed to its unique combination of a robust product platform, embedded elite engineers, and proven performance in critical government and defense environments, which most companies struggle to replicate [9][21]. - The company's approach is not merely about automating existing processes but involves pushing clients to adopt new workflows, which is a rare courage among vendors [18]. Group 3: Challenges of Imitating the Model - Many startups attempting to emulate Palantir may end up as high-cost service firms without the competitive advantages that come from a true platform [2][10]. - The article warns that not every problem warrants a "Palantir-level" solution, especially in less critical environments where the ROI does not justify extensive customization [15][16]. Group 4: Key Considerations for Adoption - Companies should assess the criticality of the problems they are solving, the concentration of their customer base, and the regulatory environment before adopting a Palantir-like model [23]. - The article suggests that startups should view FDE deployment as scaffolding rather than the foundation of their business, ensuring that they do not become trapped in a service model [25][30]. Group 5: Practical Steps for Implementation - Startups are encouraged to focus on building strong foundational components rather than fully customized workflows, allowing for scalability and reusability [26]. - Engaging FDEs as integral parts of product development rather than just delivery can create a feedback loop that enhances product quality and customer satisfaction [27].

Analysts on Wall Street project that Snowflake Inc. (SNOW) will announce quarterly earnings of $0.27 per share in its forthcoming report, representing a decline of 10% year over year. Revenues are projected to reach $1.25 billion, increasing 26.9% from the same quarter last year.Over the last 30 days, there has been no revision in the consensus EPS estimate for the quarter. This signifies the covering analysts' collective reconsideration of their initial forecasts over the course of this timeframe.Before a ...

Core Viewpoint - The report from Guotai Junan Securities provides a "Buy" rating for Xunce (3317.HK) with a target price of HKD 104.78, reinforcing its positioning as the "Chinese version of Palantir" and highlighting its leading status and long-term value in the real-time data infrastructure sector driven by AI large models and applications [1] Group 1: Valuation and Growth Potential - The report employs both PE and PS valuation methods, referencing comparable companies like Palantir and Snowflake, resulting in a target market value of HKD 33.8 billion and a target price of HKD 104.78, indicating over 50% upside potential from the report's publication date [2] - Revenue projections for the company are set at HKD 1.183 billion, HKD 2.177 billion, and HKD 3.311 billion for 2025-2027, with year-on-year growth rates of 87%, 84%, and 52% respectively, indicating a clear growth trajectory [2] Group 2: Market Position and Industry Leadership - The company is recognized as a leading provider of AI real-time data infrastructure in China, offering solutions for real-time data processing and analysis, capable of collecting, cleaning, managing, analyzing, and governing heterogeneous data within seconds [3] - According to Frost & Sullivan, the company holds the top position in the Chinese real-time data infrastructure and analytics market, with an 11.6% market share in the asset management sector, achieving full coverage of the top ten asset management firms in China [3] Group 3: Product Flexibility and Diversification - The company's products are highly modular, with over 300 functional modules developed by the end of 2025, allowing for flexible combinations into seven core solutions that cover both data infrastructure and asset management applications [4] - The company is accelerating its expansion into diversified industries such as financial services (beyond asset management), urban management, production management, and telecommunications, with revenue from diversified sectors reaching 61% in 2024, becoming a major growth driver [4] Group 4: Market Opportunity and Growth Rate - The report highlights that the rapid development of AI large models and applications is increasing the demand for real-time, unified, and efficient data processing platforms, with the current penetration rate of the real-time data infrastructure and analytics market in China being less than 4% [5] - The market is expected to grow at a CAGR of 46.1% from 2020 to 2024, reaching a size of HKD 50.5 billion by 2029, with a projected CAGR of 22.0% from 2024 to 2029, indicating a vast market opportunity [5]